Social and Islamic diffusion in the Nordic countries with the example of Sweden by year 2050
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Abstract The purpose of this paper is to study the Muslim migration flow on the territory of Northern Europe in the last quarter of XX – first half of XXI centuries, the analysis of pattern and genesis of a new geopolitical reality in the region on the example of Sweden, as applied to its state by year 2050. In the process of writing the paper, the authors relied on advanced achievements of scientific thought, described in geographers’ fundamental research (the study was based on the theory of innovations’ diffusion by a Swedish geographer T. Hagerstrand), in sociologists’ works (theory of innovations’ diffusion by G. Tarde and E. Rogers), historians, anthropologists, economists and philosophers’ research. It is the example of Sweden which fully illustrates the paradox of the whole situation and, at the same time, allows to make the main conclusion on the basis of the study conducted in this paper. Thus, in 1975, the Muslim population of the Kingdom was 0.25%; in 2017, according to official data, every tenth citizen is Muslim. Currently, in 2019, Sweden only has a Muslim population exceeding five populations of Iceland. If the same trend continues (without repetition of the European migration crisis of 2015), by 2025-2027 every fifth, and by 2035-2040 every fourth citizen will be Muslim ( Fig. 1-9 illustrate this idea). We have studied, analyzed and presented all stages of migration processes development in Sweden from 1995 to 2020 on the generalized cartographic material and predicted it for the period from 2020 to 2050, respectively. By 2020, the Muslim population of Sweden will be more than 20%. This migration diffusion will affect, first of all, 13 of the 25 largest municipalities, where the ethnic, autochthonous Swedish population will appear the minority. And in just a few years, the same situation will happen in the remaining three largest municipalities: Westeros, O rebro and Norrköping. 70% of Stockholm’s residents and every second resident of southern Sweden will be Muslims. By 2050, it is possible to split the Muslim part of Sweden, up to the administrative and territorial change of interstate borders, especially between Sweden and Denmark, where a Muslim agglomeration has already been formed between Copenhagen and Malmö.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".